New Statistical Algorithms for the Analysis of Mass - FU Berlin, FB MI ...
New Statistical Algorithms for the Analysis of Mass - FU Berlin, FB MI ...
New Statistical Algorithms for the Analysis of Mass - FU Berlin, FB MI ...
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4.6. BIOLOGICAL APPLICATIONS 101<br />
4.6 Biological Applications<br />
In addition to <strong>the</strong> clinical application described in <strong>the</strong> previous sections mass<br />
spectrometry has also emerged as <strong>the</strong> preferred method <strong>for</strong> in-depth characterization<br />
<strong>of</strong> protein components <strong>of</strong> biological systems. Many studies have<br />
shown that is is possible to gain key insights into <strong>the</strong> composition, regulation<br />
and function <strong>of</strong> molecular complexes and pathways. Thus, mass spectrometrybased<br />
proteomics has evolved to a quite powerful hypo<strong>the</strong>sis-generation plat<strong>for</strong>m.<br />
This tool in combination with complementary techniques from areas<br />
such as molecular biology or pharmacology provides a framework to ga<strong>the</strong>r<br />
more understanding <strong>of</strong> complex biological processes. This section will briefly<br />
review some recent studies and show <strong>the</strong> large range <strong>of</strong> applications.<br />
4.6.1 Characterization <strong>of</strong> Protein Complexes<br />
Many proteins found in cells or tissue function as components <strong>of</strong> larger complexes.<br />
These complexes can vary in size dramatically, from just a few small<br />
proteins clustering toge<strong>the</strong>r to very large assemblies <strong>of</strong> dozens <strong>of</strong> proteins,<br />
such as <strong>the</strong> ribosome. Since <strong>the</strong> composition <strong>of</strong> <strong>the</strong>se complexes is highly regulated<br />
in cells (context and time dependent) unraveling <strong>the</strong> structure becomes<br />
a real challenge. <strong>Mass</strong> spectrometry-based proteomics can aid in this issue as<br />
described in <strong>the</strong> examples below.<br />
Discovering a Mitochondrial Protein Complex Structure<br />
By mass spectrometry-based proteomics analysis <strong>of</strong> mitochondrial BAD-containing<br />
complexes (Danial et al., 2003) discovered an unexpected physical<br />
association between a key apoptotic protein (BAD) and a key glycolytic protein<br />
(glucokinase). This led to new models to explain how cells coordinate<br />
metabolic signals and survival signals.<br />
Discovering a Transcription-Factor Complex<br />
(Ranish et al., 2004) used mass spectrometry-based proteomics to characterize<br />
a previously unknown component <strong>of</strong> TFIIH (one <strong>of</strong> <strong>the</strong> transcription factors<br />
that make up <strong>the</strong> RNA polymerase II preinitiation complex) that eventually<br />
succeeded in explaining <strong>the</strong> molecular basis <strong>for</strong> a human photosensitivity syndrome.<br />
Discovering a Chaperone Complex<br />
In an early study (Washburn et al., 2001) analyzed <strong>the</strong> CFTR (cystic fibrosis<br />
transmembrane conductance regulator, an ABC transporter-class protein<br />
and chloride ion channel) interactome using mass spectrometry-based proteomics<br />
and identified specific co-chaperones and chaperone folding pathways<br />
that seem to control mutant channel stability, cell-surface expression and function.<br />
Mutations <strong>of</strong> CFTR leads to cystic fibrosis and congenital absence <strong>of</strong><br />
<strong>the</strong> vas deferens (part <strong>of</strong> <strong>the</strong> male anatomy).<br />
4.6.2 Characterization <strong>of</strong> Protein Pathways<br />
Ano<strong>the</strong>r very exciting application <strong>of</strong> mass spectrometry-based proteomics is<br />
<strong>the</strong> comparative analysis <strong>of</strong> biological samples <strong>of</strong> different conditions, such as